Research ArticleOpen AccessGoogle Scholar indexed
Small Signal Stability Analysis of DFIG Fed Wind Power System Using a Robust Fuzzy Logic Controller
Department of Electrical and Electronics Engineering, Sona College of Technology, Salem, India
Department of Electronics and Communication Engineering, United Institute of Technology, Coimbatore, India
- 1 Department of Electrical and Electronics Engineering, Sona College of Technology, Salem, India
- 2 Department of Electronics and Communication Engineering, United Institute of Technology, Coimbatore, India
Circuits and Systems·Volume 07 (2016)·Pages 390–401·Published 13 April 2016·DOI10.4236/cs.2016.74034
Copy link · social · email
Abstract
This paper focuses on the small signal stability analysis of Doubly-Fed Induction Generator (DFIG) fed wind power system under three modes of operation. The system stability is affected by the influence of electromechanical oscillations, which can be damped using Power System Stabilizer (PSS). A detailed modeling of DFIG fed wind system including controller has been carried out. The damping controller is designed using fuzzy logic to damp the oscillatory modes for stability. The robust performance of the system with controllers has been evaluated using eigen value analysis and time domain simulations under various disturbances and wind speeds. The effectiveness of the proposed fuzzy based PSS is compared with the performance of conventional PSS implemented in the wind system.
KeywordsDoubly-Fed Induction Generator (DFIG)Conventional Power System Stabilizer (CPSS)Fuzzy Logic Based Power System Stabilizer (FPSS)
- Eriksen, P.B., Ackermann, T., Abildgaard, H., Smith, P., Winter, W. and Rodriguez Garcia, J.M. (2005) System Operation with High Wind Penetration. IEEE Power Energy Management, 3, 65-74. http://dx.doi.org/10.1109/MPAE.2005.1524622
- Li, H. and Chen, Z. (2008) Overview of Different Wind Generator Systems and Their Comparisons. IET Renewable Power Generation, 2, 123-138. http://dx.doi.org/10.1049/iet-rpg:20070044
- Li, H., Liu, S.Q., Ji, H.T., Yang, D., Yang, C., Chen, H.W., Zhao, B., Hu, Y.G. and Chen, Z. (2014) Damping Control Strategies of Inter-Area Low-Frequency Oscillation for DFIG-Based Wind Farms Integrated into a Power System. Electrical Power and Energy Systems, 61, 279-287. http://dx.doi.org/10.1016/j.ijepes.2014.03.009
- Shivakumar, R. and Panneerselvam, M. (2014) Stability Analysis of Multimachine Thermal Power Systems Using the Nature-Inspired Modified Cuckoo Search Algorithm. Turkish Journal of Electrical Engineering & Computer Sciences, 2, 1099-1115.
- Falehi, A.D., Rostami, M. and Doroudi, A. (2012) Optimization and Coordination of SVC-Based Supplementary Controllers and PSSs to Improve Power System Stability Using a Genetic Algorithm. Turkish Journal of Electrical Engineering & Computer Sciences, 20, 639-654.
- Lei, Y., Mullane, A., Lightbody, G. and Yacamini, R. (2016) Modeling of the Wind Turbine with a Doubly Fed Induction Generator for Grid Integration Studies. IEEE Transactions on Energy Conversion, 21, 257-264. http://dx.doi.org/10.1109/TEC.2005.847958
- Mei, F. and Pal, B.C. (2005) Modeling and Small Signal Analysis of a Grid Connected Doubly Fed Induction Generator. IEEE Power Engineering Society General Meeting, San Francisco, 12-16 June 2005, 2101-2108.
- Meegahapola, L. and Perera, S. (2014) Capability Constraints to Mitigate Voltage Fluctuations from DFIG Wind Farms When Delivering Ancillary Services to the Network. Electrical Power and Energy Systems, 62, 152-162. http://dx.doi.org/10.1016/j.ijepes.2014.04.032
- Mei, F. and Pal, B.C. (2007) Modal Analysis of Grid Connected Doubly Fed Induction Generator. IEEE Transactions on Energy Conversion, 22, 728-736. http://dx.doi.org/10.1109/TEC.2006.881080
- Hughes, F.M., Anaya-Lara, O., Jenkins, N. and Strbac, G. (2005) Control of DFIG-Based Wind Generation for Power Network Support. IEEE Transactions on Power Systems, 20, 1958-1966. http://dx.doi.org/10.1109/TPWRS.2005.857275
- Surinkaew, T. and Ngamroo, I. (2015) Power System Oscillations Damping by Robust Decentralized DFIG Wind Turbines. Journal of Electrical Engineering & Technology, 10, 30-40. http://dx.doi.org/10.5370/JEET.2015.10.2.487